Machine Learning Blog | ML@CMU | Carnegie Mellon University blog.ml.cmu.edu

Teaching Vision-Language Models to Speak Cinema

blog.ml.cmu.edu·3w3 weeks ago

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Introducing ARFBench: A time series question-answering benchmark based on real incidents

blog.ml.cmu.edu·6w6 weeks ago

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Carnegie Mellon at ICLR 2026

blog.ml.cmu.edu·7w7 weeks ago

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When Should AI Step Aside?: Teaching Agents When Humans Want to Intervene

blog.ml.cmu.edu·8w8 weeks ago·Hacker News

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LumberChunker: Long-Form Narrative Document Segmentation

blog.ml.cmu.edu·12w12 weeks ago

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Carnegie Mellon at NeurIPS 2025

blog.ml.cmu.edu·16w16 weeks ago

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Yes, AI, There is a Santa Claus

blog.ml.cmu.edu·23w23 weeks ago

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Validating LLM-as-a-Judge Systems under Rating Indeterminacy

blog.ml.cmu.edu·26w26 weeks ago

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Carnegie Mellon at NeurIPS 2025

blog.ml.cmu.edu·27w27 weeks ago

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How to Explore to Scale RL Training of LLMs on Hard Problems? – Machine Learning Blog | ML@CMU | Carnegie Mellon University

blog.ml.cmu.edu·27w27 weeks ago

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How to Explore to Scale RL Training of LLMs on Hard Problems?

blog.ml.cmu.edu·27w27 weeks ago

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Carnegie Mellon University at EMNLP 2025

blog.ml.cmu.edu·30w30 weeks ago

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Learning from Failure to Tackle Extremely Hard Problems

blog.ml.cmu.edu·32w32 weeks ago·Hacker News

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Diffusion Beats Autoregressive in Data-Constrained Settings

blog.ml.cmu.edu·37w37 weeks ago·Hacker News

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Verlog: A Multi-turn RL framework for LLM agents

blog.ml.cmu.edu·38w38 weeks ago

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Carnegie Mellon University at ICML 2025

blog.ml.cmu.edu·48w48 weeks ago

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RLHF 101: A Technical Tutorial on Reinforcement Learning from Human Feedback

blog.ml.cmu.edu·53w53 weeks ago

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Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning

blog.ml.cmu.edu·54w54 weeks ago

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Carnegie Mellon University at ICLR 2025

blog.ml.cmu.edu·58w58 weeks ago

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Allie: A Human-Aligned Chess Bot

blog.ml.cmu.edu·59w59 weeks ago

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